Optimal Configuration Of Distributed Generation And Energy Storage In Microgrid

This paper proposes a novel optimal configuration method of distributed generation and energy storage in microgrid. Firstly, K-means clustering method is introduced to formulate the typical days of the output power of renewable generation and load of the microgrid. Secondly, an optimal configuration model of distributed generation and energy storage in microgrid is established with the objective function of minimizing the annual total cost. Then, a hybrid solving strategy combing genetic algorithm, dynamic programming and primal-dual interior point method is proposed. Case studies are carried out on a real-world microgrid in China, and the results show the rationality of the model and the effectiveness of the solving algorithm.